Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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Application of two machine learning algorithms to genetic association studies in the presence of covariates.
PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups
The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).
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Operon information improves gene expression estimation for cDNA microarrays.
PMID 16630355 · PMC1513396 · BMC genomics · 2006 · 7 claims · 3 setups
A hierarchical Bayesian model that borrows expression information from other genes within the same operon improves estimation of relative transcript levels.
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Has reproduction · 65
High-throughput sequencing SELEX for the determination of DNA-binding protein specificities in vitro.
PMID 35776646 · PMC9243297 · STAR protocols · 2022 · 8 claims · 8 setups
HT-SELEX enables unbiased, in vitro determination of preferred DNA target motifs for DNA-binding proteins by iterative selection and PCR amplification of bound oligonucleotides
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MatchMiner: a tool for batch navigation among gene and gene product identifiers.
PMID 12702208 · PMC154578 · Genome biology · 2003 · 8 claims · 3 setups
MatchMiner's LookUp function automates batch translation of an input list of gene identifiers into a matching list of a different identifier type.
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A simple and robust method for connecting small-molecule drugs using gene-expression signatures.
PMID 18518950 · PMC2464610 · BMC bioinformatics · 2008 · 8 claims · 4 setups
A new method for building reference gene-expression profiles and scoring/testing connections improves on the original Connectivity Map by enabling statistical significance testing of connections.
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Has reproduction · 59
Application of Machine Learning in Predicting Hepatic Metastasis or Primary Site in Gastroenteropancreatic Neuroendocrine Tumors.
PMID 37887568 · PMC10605255 · Current oncology (Toronto, Ont.) · 2023 · 8 claims · 7 setups
Multi-gene random forest models classify primary tumor vs. liver metastasis samples with 100% accuracy in training/test cohorts and >90% accuracy in an independent validation cohort
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A comparison of random sequence reads versus 16S rDNA sequences for estimating the biodiversity of a metagenomic library.
PMID 18682527 · PMC2532719 · Nucleic acids research · 2008 · 8 claims · 7 setups
Biodiversity observed by RSR analysis is consistent with that obtained by 16S rDNA analysis
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N-acetyltransferase 8, a positional candidate for blood pressure and renal regulation: resequencing, association and in silico study.
PMID 18402670 · PMC2330028 · BMC medical genetics · 2008 · 7 claims · 6 setups
NAT8 is a novel positional candidate gene for blood pressure and renal function based on its chromosomal location within a BP linkage region and its expression in embryonic/adult kidney and liver
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CanPredict: a computational tool for predicting cancer-associated missense mutations.
PMID 17537827 · PMC1933186 · Nucleic acids research · 2007 · 8 claims · 7 setups
CanPredict is a web application providing public access to a random forest classifier that combines SIFT, LogR.E-value, and GOSS scores to predict whether a missense mutation is cancer-associated
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Tri-nucleotide threading for parallel amplification of minute amounts of genomic DNA.
PMID 16582098 · PMC1421508 · Nucleic acids research · 2006 · 6 claims · 5 setups
TnT enables parallel amplification of 75 SNPs from sub-nanogram amounts of genomic DNA
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Has reproduction · 85
Predicting the pathogenicity of missense variants using features derived from AlphaFold2.
PMID 37084271 · PMC10203375 · Bioinformatics (Oxford, England) · 2023 · 6 claims · 8 setups
AlphaFold2-derived structural features (solvent accessibility, amino acid network features, physicochemical environment, pLDDT) can be used to train a random forest classifier (AlphScore) that distinguishes proxy-benign from proxy-pathogenic missense variants.
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Has reproduction · 78
GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.
PMID 34461978 · PMC8407037 · Genome medicine · 2021 · 8 claims · 6 setups
GenTB is a free, open, web-based application offering two ML predictors (Random Forest and WDNN) that predict resistance to 13 and 10 anti-TB drugs, respectively.
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The impact of peptide abundance and dynamic range on stable-isotope-based quantitative proteomic analyses.
PMID 18798661 · PMC2746028 · Journal of proteome research · 2008 · 8 claims · 7 setups
Over half of confidently identified peptides in complex mixtures have S/N ratios below 10 on both FT-ICR and Orbitrap instruments
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Has reproduction · 68
Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.
PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 7 claims · 7 setups
CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes
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Has reproduction · 44
Dynamic Gene Attention Focus (DyGAF): Enhancing Biomarker Identification Through Dual-Model Attention Networks.
PMID 40160891 · PMC11951896 · Bioinformatics and biology insights · 2025 · 6 claims · 5 setups
DyGAF, a dual-model attention neural network (independent Model A + dependent Model B), identifies and ranks genes by significance for COVID-19 biomarker discovery more effectively than differential expression analysis (DEA) and random forest (RF) feature selection
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Optimal step length EM algorithm (OSLEM) for the estimation of haplotype frequency and its application in lipoprotein lipase genotyping.
PMID 12529185 · PMC149347 · BMC bioinformatics · 2003 · 5 claims · 4 setups
OSLEM (Optimal Step Length EM), which approximates an optimal step length via a fixed-point search (D_N = D_{N-1} + λ(D_preN - D_{N-1})), runs about twice as fast as standard EM while producing the same haplotype frequency estimates.
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Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
PMID 15850479 · PMC1127068 · BMC bioinformatics · 2005 · 8 claims · 8 setups
A step-down quadratic regression method (fitting quadratic, then linear, then null models per gene) identifies differentially expressed genes and classifies them into 9 temporal expression patterns using continuous time information.
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GENCODE: producing a reference annotation for ENCODE.
PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups
GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions
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Allelic drop-out may occur with a primer binding site polymorphism for the commonly used RFLP assay for the -1131T>C polymorphism of the Apolipoprotein AV gene.
PMID 16670016 · PMC1513378 · Lipids in health and disease · 2006 · 8 claims · 6 setups
A -987C>T polymorphism located 4bp from the 3' end of the MseI RFLP forward primer causes allelic drop-out, producing incorrect -1131T>C genotypes.